73 citations · 218 across the 15 of their papers we have counts for
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stat.ML2023★ 2 cited
Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna, Ryan Lucas, Bart Van Parys
Recent work have demonstrated that robustness (to "corruption") can be at odds with generalization. Adversarial training, for instance, aims to reduce the problematic susceptibilit…
stat.ML2022★ 6 cited
Holistic Robust Data-Driven Decisions
Amine Bennouna, Bart Van Parys, Ryan Lucas
The design of data-driven formulations for machine learning and decision-making with good out-of-sample performance is a key challenge. The observation that good in-sample performa…
stat.ML2021★ 1 cited
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions
Amine Bennouna, Bart P. G. Van Parys
We study the problem of designing optimal learning and decision-making formulations when only historical data is available. Prior work typically commits to a particular class of da…